An Approach of Information Processing for CBR in Emergency Engineering
Presently many researches dedicated to the application of case based reasoning (CBR) in emergency engineering. However, usually the ideal cases in emergency domain are not available and hard to obtain. The distance between raw information and cases lies in the middle of information processing and CBR application, making it difficult to design practical CBR systems. Alternatively, this paper proposed an approach of generating imperfect cases from raw information with information evaluation and ranking. First, the derivation of information was assessed. Moreover, to implement that strategy, a dictionary of emergency keywords was established. The gathered information was labeled with keywords, and the keywords gained the weight according to the word frequency and the dictionary. The evaluation was realized via the improved bubble sort algorithm, which compared each two pieces of information, and the prior one absorbs the other one while eliminating the useless information, until the cases were generated. For many emergency domains, this strategy partly solved the above problem of insufficient cases, and supported the decision making to some extent.
Information Engineering Information Rank Case-based Reasoning Emergency Management
Chao Huang Shifei Shen Quanyi Huang
Insititue of Public Research, Department of Engineering Physics, Tsinghua University, Beijing, China
国际会议
International Symposium on Emergency Management 2011(ISEM‘2011)(第六届国际应急管理论坛暨中国(双法)应急管理专业委员会第七届年会)
北京
英文
262-266
2011-11-19（万方平台首次上网日期，不代表论文的发表时间）